Amazon S3 – Amazon Web Services – Amazon Cloud
Amazon Web Services
Amazon Simple Storage Service (Amazon S3), AWS cloud is an object storage service that offers scalability, data availability, security, and performance.
Customers of all sizes and industries can use the service to store and protect any amount of data for a wide range of use cases such as websites, mobile applications, backup and recovery, archiving, enterprise applications, IoT devices, and big data analytics.
Amazon S3 provides easy-to-use management features to allow you to organize your data and configure refined access controls for your specific business, organizational, and compliance requirements.
Amazon S3 is designed to deliver 99.999999999% (11 9) durability and store data from millions of applications for businesses around the world.
State-of-the-art performance, scalability, availability, and durability
Scale your resources up or down to meet fluctuations in demand without up-front investments or resource acquisition cycles.
Amazon S3 is designed to offer 99.999999999% (11 9) data durability, as it automatically creates and stores copies of all S3 objects across multiple systems.
This means your data is available when you need it and is protected against failures, errors, and threats.
Wide range of economical storage classes
Reduce costs without sacrificing performance by storing data in different S3 storage classes that support different levels of data access at corresponding rates.
You can use the S3 storage class analysis functionality to discover which data should be transferred to a lower-cost storage class based on access patterns and configure an S3 lifecycle strategy to execute the transfer.
You can also store data with changing or unknown access patterns in S3 Intelligent-Tiering, which prioritizes objects based on changing access patterns and allows you to automatically take advantage of cost savings.
On-site query services for analysis
Run Big Data analyses on your S3 objects (and other datasets in AWS) with on-site query services.
Use Amazon Athena – AWS Athena – to query S3 data with standard SQL expressions and Amazon Redshift Spectrum to analyze data that is stored in your AWS data warehouses and S3 resources.
You can also use S3 Select to extract subsets of object data, instead of the entire object, and improve query performance by up to 400%.
How it works – S3 access points
Amazon S3 Access Points simplify the overall management of data access for applications by using shared data sets on S3.
With S3 Access Points, you can now easily create hundreds of access points per compartment and benefit from a new way to provide access to shared datasets.
Access Points provide a personalized path to a compartment, with a unique user name and an access policy that enforces specific network permissions and controls for any queries made through the Access Point.
Backup and restore
Create scalable, sustainable, and secure backup and recovery solutions with Amazon S3 and other AWS services, such as S3 Glacier, Amazon EFS, and Amazon EBS, to augment or replace your existing onsite capabilities.
AWS and APN partners can help you meet your recovery time objective (RTO), recovery point objective (RPO) and compliance requirements.
With AWS, you can back up data already in the AWS cloud, or use AWS Storage Gateway, a hybrid storage service, to send onsite backups to AWS.
Protect critical data, applications, and IT systems running in the AWS cloud or your on-premises environment without the expense of a second physical site.
With Amazon S3 storage, S3 region-to-region replication, and other AWS computing, networking, and database services, you can create disaster recovery architectures to recover quickly and easily from outages caused by natural disasters, system failures, and human error.
Data Lakes and Big Data Analysis
Accelerate innovation by developing a data lake in Amazon S3, and extract valuable information using on-site queries, analysis, and machine learning tools.
As your data lake grows, use S3 Access Points to easily configure access to your data, with specific permissions for each application or set of applications.
You can also use AWS Lake Formation to quickly create a data lake and centrally define and enforce security, governance, and auditing policies.
The service collects data from your S3 databases and resources, transfers it to a new data lake in Amazon S3, and cleans and classifies it using automated learning algorithms.
All AWS resources can be scaled up to accommodate the expansion of your data stores, with no up-front investment.
Hybrid storage in the cloud
Create a seamless connection between on-premise applications and Amazon S3 with AWS Storage Gateway to reduce your data center footprint, and take advantage of AWS’s scale, reliability, and durability, as well as AWS’s innovative auto-learning and analysis capabilities.
You can also automate data transfers between on-site storage and Amazon S3 using AWS DataSync, which can transfer data at speeds up to 10 times faster than open-source tools.
Another way to set up a hybrid cloud storage environment is to collaborate with an APN gateway provider.
You can also transfer files directly to and from Amazon S3 with AWS Transfer for SFTP, a managed service that enables secure file exchanges with third parties.
Native Cloud Application Data
With Amazon S3, you can upload and access any amount of data from anywhere to deploy applications faster and reach more end users.
Storing data in Amazon S3 also means you have access to the latest developer tools and AWS services for machine learning and analysis to innovate and optimize your native cloud applications.
Netflix delivers billions of hours of content from Amazon S3 to customers around the world. Amazon S3 also serves as the data lake for the company’s Big Data analytics solution.
FINRA uses Amazon S3 to integrate and store data for more than 75 billion market events every day with AWS Lambda functions to format and validate data according to more than 200 rules.
Airbnb hosts backup data and static files on Amazon S3, including more than 10 petabytes of user images.
Born in the cloud, the solution is constantly innovating to find new ways to analyze data stored on Amazon S3.
GE uses Amazon S3 to store and protect one petabyte of sensitive medical imaging data for its GE Health Cloud service, which connects hundreds of thousands of imaging machines and other medical devices.